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All Journal International Journal of Science and Engineering (IJSE) Jurnal Ilmiah Informatika Komputer Prosiding KOMMIT Prosiding Semnastek Jurnas Nasional Teknologi dan Sistem Informasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Ilmiah KOMPUTASI Justek : Jurnal Sains Dan Teknologi Kilat Journal of Applied Computer Science and Technology (JACOST) Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal INFOTEL
Bheta Agus Wardijono
STMIK Jakarta STI&K
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : Journal of Applied Computer Science and Technology (JACOST)

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Identifikasi Karakteristik Citra Berdasarkan pada Nilai Entropi dan Kontras Bheta Agus Wardijono; Lussiana ETP; Rozi
Journal of Applied Computer Science and Technology Vol 2 No 1 (2021): Juni 2021
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v2i1.136

Abstract

Abstract Determining the object boundaries in an image is a necessary process, to identify the boundaries of an object with other objects as well as to define an object in the image. The acquired image is not always in good condition, on the other hand there is a lot of noise and blur. Various edge detection methods have been developed by providing noise parameters to reduce noise, and adding a blur parameter but because these parameters apply to the entire image, but lossing some edges due to these parameters. This study aims to identify the characteristics of the image region, whether the region condition is noise, blurry or otherwise sharp (clear). The step is done by dividing the four regions from the image size, then calculating the entropy value and contrast value of each formed region. The test results show that changes in region size can produce different characteristics, this is indicated by entropy and contrast values ​​of each formed region. Thus it can be concluded that entropy and contrast can be used as a way to identify image characteristics, and dividing the image into regions provides more detailed image characteristics.
Co-Authors A I Ramadhani Ahmad Ryan Rivai Andre Bertua Naibaho Aprilia Putri Dewanty Arityo Sudartanto B.U.G Pamungkas Danarko Pakuan Putra Danarko Putra Dina Anggraiini Dina Anggraini Ega Hegarini Enrico Didi Franchman F Hendajani Hana Pertiwi Haris Satria I.P Wardhani Indra Sari Kusuma Wardhana Johann Löwen LM Rasdi Rere LM Rasdi Rere Lussiana ETP Margaretha Palma Puspita Mohammad Zulkifli Lubis Muhammad Arsal Putu Wiweka Prasetyananda Rochani Ani Rozi S A Sudiro Saeful Lukman Singgih Jatmiko Sunny Arief Sudiro Vivit Ardyansah Vivit Ardyansah Y. I Chandra